{"id":"W6887099608","doi":"10.15468/dl.qza7kf","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009605597,0.00190751,0.00157599,0.005634546,0.0009846246,0.002644874,0.002860814,0.001960368,0.1604645],"category_scores_gemma":[0.00602742,0.0008710258,0.001167757,0.0109693,0.0004387471,0.002328292,0.002682274,0.002040954,0.2162714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594054,"about_ca_system_score_gemma":0.002458797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295291,"about_ca_topic_score_gemma":0.03860467,"domain_scores_codex":[0.99891,0.0001390639,0.0001415657,0.0003601716,0.0002564832,0.0001926966],"domain_scores_gemma":[0.9974285,0.0006632523,0.0002514757,0.0006733912,0.0006748329,0.0003085102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002895829,0.00001082585,0.0003868765,0.00052464,0.00001505687,0.00001512754,0.00002331889,0.000109181,0.0001112841,0.0003929762,0.9969716,0.001410095],"study_design_scores_gemma":[0.00006621849,0.000007001384,0.001868498,0.0001845466,0.00001342619,0.00003461463,0.00006662059,0.0001230379,0.000177081,0.0007293558,0.9967136,0.00001581976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004033939,0.00002557919,0.00003865003,0.00003231213,0.0000103094,0.000004965732,0.9988316,0.000356648,0.000659645],"genre_scores_gemma":[0.0001485669,0.00003129091,0.0001622244,0.00003965909,0.000003221352,0.00003482902,0.9990171,0.0001332821,0.0004299135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395355,"threshold_uncertainty_score":0.5368074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}